
Intelligent Data
Analysis
Intelligent Data Analysis (IDA) is one of the
hot issues in the field of artificial intelligence
and information. Intelligent data
analysis reveals implicit, previously unknown
and potentially valuable information or
knowledge from large amounts of data.
Analytical processing involves the interaction
between analysts and collections of aggregated
data that may have been reformulated into
alternate representational forms as a means for
improved analytical performance.
Business analytics tools are types of
application software that retrieve data from
one or more business systems and combine it
in a repository, such as a data warehouse, to be
reviewed and analyzed.
Reporting is the process of organizing data
into informational summaries in order to
monitor how different areas of a business are
performing.
Analysis is the process of exploring data and
reports in order to extract meaningful,
actionable insights, which can be used to
better understand and improve business
performance.
R is the leading analytics tool in the industry
and widely used for statistics and data
modeling. It can easily manipulate your data
and present in different ways.
Tableau Public is a free software that connects
any data source be it corporate Data
Warehouse.
Python is an object-oriented scripting language
which is easy to read, write, maintain and is a
free open source tool. It was developed by
Guido van Rossum in late 1980’s which
supports both functional and structured
programming methods.
Sas is a programming environment and
language for data manipulation and a leader in
analytics, developed by the SAS Institute in
1966 and further developed in 1980’s and
1990’s. SAS is easily accessible, managable
and can analyze data from any sources.
Apache Spark is a fast large-scale data
processing engine and executes applications in
Hadoop clusters 100 times faster in memory
and 10 times faster on disk.
Excel is a basic, popular and widely used
analytical tool almost in all industries.
Whether you are an expert in Sas, R or